HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Full Text Full Text (PDF) Supplemental Data All Versions of this Article: M500162-MCP200v1 M500162-MCP200v2 5/6/1131    most recent Submit a response Alert me when this article is cited Alert me when eLetters are posted Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Request Permissions Glossary Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Hwang, S.-I. Articles by Han, D. K. Search for Related Content PubMed PubMed Citation Articles by Hwang, S.-I. Articles by Han, D. K. Social Bookmarking                      What's this?

Molecular & Cellular Proteomics 5:1131-1145, 2006.
© 2006 by The American Society for Biochemistry and Molecular Biology, Inc.

---

Research

Systematic Characterization of Nuclear Proteome during Apoptosis

A Quantitative Proteomic Study by Differential Extraction and Stable Isotope Labeling^*,S

Sun-Il Hwang, Deborah H. Lundgren, Viveka Mayya, Karim Rezaul, Ann E. Cowan, Jimmy K. Eng^¶ and David K. Han^,||

From the Department of Cell Biology, Center for Vascular Biology and the Department of Molecular, Microbial, and Structural Biology, Center for Cell Analysis and Modeling, University of Connecticut School of Medicine, Farmington, Connecticut 06030 and the ^¶ Fred Hutchinson Cancer Research Center, Seattle, Washington 98195

Identification and characterization of the nuclear proteome is important for detailed understanding of multiple signaling events in eukaryotic cells. Toward this goal, we extensively characterized the nuclear proteome of human T leukemia cells by sequential extraction of nuclear proteins with different physicochemical properties using three buffer conditions. This large scale proteomic study also tested the feasibility and technical challenges associated with stable isotope labeling by amino acids in cell culture (SILAC) to uncover quantitative changes during apoptosis. Analyzing proteins from three nuclear fractions extracted from naive and apoptotic cells generated 780,530 MS/MS spectra that were used for database searching using the SEQUEST algorithm. This analysis resulted in the identification and quantification of 1,174 putative nuclear proteins. A number of known nuclear proteins involved in apoptosis as well as novel proteins not known to be part of the nuclear apoptotic machinery were identified and quantified. Consistent with SILAC-based quantifications, immunofluorescence staining of nucleus, mitochondria, and some associated proteins from both organelles revealed a dynamic recruitment of mitochondria into nuclear invaginations during apoptosis.

CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    What's this?

This article has been cited by other articles:

				A. Ishii, R. Dutta, G. M. Wark, S.-I. Hwang, D. K. Han, B. D. Trapp, S. E. Pfeiffer, and R. Bansal Human myelin proteome and comparative analysis with mouse myelin PNAS, August 25, 2009; 106(34): 14605 - 14610. [Abstract] [Full Text] [PDF]

				B. van Breukelen, H. W. P. van den Toorn, M. M. Drugan, and A. J. R. Heck StatQuant: a post-quantification analysis toolbox for improving quantitative mass spectrometry Bioinformatics, June 1, 2009; 25(11): 1472 - 1473. [Abstract] [Full Text] [PDF]

				S. C. Bendall, C. Hughes, M. H. Stewart, B. Doble, M. Bhatia, and G. A. Lajoie Prevention of Amino Acid Conversion in SILAC Experiments with Embryonic Stem Cells Mol. Cell. Proteomics, September 1, 2008; 7(9): 1587 - 1597. [Abstract] [Full Text] [PDF]

				F. Vumbaca, K. N. Phoenix, D. Rodriguez-Pinto, D. K. Han, and K. P. Claffey Double-Stranded RNA-Binding Protein Regulates Vascular Endothelial Growth Factor mRNA Stability, Translation, and Breast Cancer Angiogenesis Mol. Cell. Biol., January 15, 2008; 28(2): 772 - 783. [Abstract] [Full Text] [PDF]

				L. Wu, S.-I. Hwang, K. Rezaul, L. J. Lu, V. Mayya, M. Gerstein, J. K. Eng, D. H. Lundgren, and D. K. Han Global Survey of Human T Leukemic Cells by Integrating Proteomics and Transcriptomics Profiling Mol. Cell. Proteomics, August 1, 2007; 6(8): 1343 - 1353. [Abstract] [Full Text] [PDF]

				M. Brameier, A. Krings, and R. M. MacCallum NucPred Predicting nuclear localization of proteins Bioinformatics, May 1, 2007; 23(9): 1159 - 1160. [Abstract] [Full Text] [PDF]